Palo Alto

Diverse Lynx India

Location not stated

2 months ago

AI
triage
Incident Response
Threat Intelligence
OpenAI
LangChain
AutoGen
CrewAI
Vulnerability Management
SIEM
Splunk
Microsoft Sentinel
Cortex
SOC2
EDR
Python
REST API
AWS
Azure
GCP

2 months ago

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Key Responsibilities

· · Design and deploy multi-agent workflows on the Bricklayer AI platform across threat triage, incident response, IOC enrichment, and vulnerability prioritization use cases.
· · Architect and configure the Multi-Agent Context Engineering (MACE) framework to ensure investigative context is shared effectively across AI agent teams.
· · Integrate Bricklayer AI with existing security tooling including Palo Alto XSIAM, XSOAR, XDR, and threat intelligence platforms via APIs and native connectors.
· · Build and maintain agent procedures, playbooks, and structured investigative workflows within the Bricklayer Workbench environment.
· · Collaborate with SOC analysts to translate manual investigation processes into automated, auditable, AI-driven procedures.
· · Establish governance controls and oversight mechanisms to ensure AI agent outputs meet accuracy, transparency, and compliance requirements.
· · Monitor agent performance and continuously tune AI models, prompts, and procedures for improved fidelity and efficiency.
· · Lead technical onboarding, enablement sessions, and documentation for internal teams and enterprise clients.
· · Stay current with developments in agentic AI, LLM tooling, and the evolving Bricklayer AI product roadmap.

Required Skills & Experience

Agentic AI & LLMs

· · 7+ years in cybersecurity or AI engineering, with demonstrated experience designing and deploying agentic or autonomous AI systems.
· · Strong understanding of multi-agent orchestration architectures including agent coordination, tool use, memory, and structured reasoning patterns.
· · Hands-on experience with LLM-based systems (OpenAI, Anthropic, or similar) and prompt engineering for structured, reliable, auditable outputs.
· · Proficiency with agent frameworks such as LangChain, AutoGen, CrewAI, or similar — with the ability to evaluate and adopt new frameworks quickly.
· · Experience building human-in-the-loop oversight and auditability mechanisms within AI workflows.

Cybersecurity Domain

· · Deep knowledge of SOC operations including threat intelligence, incident response, IOC analysis, and vulnerability management lifecycles.
· · Hands-on experience with SIEM platforms (e.g., Splunk, Microsoft Sentinel) and SOAR tools (e.g., Palo Alto XSOAR, Cortex XSIAM).
· · Strong familiarity with the MITRE Telecommunication&CK framework, NIST CSF, and SOC 2 compliance requirements.
· · Experience integrating security data pipelines from EDR, NDR, firewall logs (e.g., Palo Alto PAN-OS), and external threat feeds.

Technical & Integration Skills

· · Strong Python development skills for scripting, API integrations, and security data enrichment workflows.
· · Experience designing and consuming REST APIs, and building custom connectors for security tool integrations.
· · Cloud platform proficiency across AWS, Azure, or GCP in the context of cloud-native SOC environments.

Palo Alto · Diverse Lynx India

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